Multi-antenna wireless receiver chains with vector decoding

ABSTRACT

A receiver chain is provided for use in wireless data communication including a plurality of receive antennas and a vector Barker decoder or a CCK decoder. The vector Barker decoder operates on the plurality of received signals, preferably processed through a plurality of channel matched filters. The weightings of the plurality of channels can be done using a slicer variance, a PLL variance or another method.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 10/376,079, filed Feb. 26, 2003, entitled, MULTI-ANTENNA WIRELESS RECEIVER CHAINS WITH VECTOR DECODING which is a continuation of U.S. patent application Ser. No. 10/068,360, filed Feb. 5, 2002 entitled, MULTI-ANTENNA WIRELESS RECEIVER CHAINS WITH VECTOR DECODING which is hereby incorporated by reference, as if set forth in full in this document, for all purposes.

BACKGROUND OF THE INVENTION

Wireless networks have become increasingly popular, as computers and other devices can be coupled for data communications without requiring wired connections between the network nodes. One standard for wireless networks is the IEEE 802.11b standard.

A typical node in a wireless network includes a receive chain and a transmit chain and each chain uses only one antenna at a time.

BRIEF SUMMARY OF THE INVENTION

In one embodiment of a wireless node circuit, a receiver chain includes a plurality of antennas and circuitry to process the resulting plurality of signals, including decoding the plurality of signals. In some embodiments, vector Barker decoding is used, while in other embodiments, vector CCK (complimentary code keying) decoding is used and in yet other embodiments, both are used.

In a specific aspect of embodiments of the invention, parameter estimation for channel estimation and noise estimation is done antenna-by-antenna while frequency estimation and data detection for time-averaging are done over the plurality of antennas, thereby obtaining multiple-antenna performance for data detection while still using per-antenna estimates. One benefit of this aspect is that the receiver chain can operate at lower SNRs (even SNRs less than zero, for low data rates).

Even while providing many benefits over other techniques, the multiple receive chain Barker/CCK demodulator system is fully compatible with existing standards, such as the IEEE 802.11 standards. But a few of the advantages are improved range and improved robustness to fading relative to other Barker/CCK demodulation schemes.

An advantage of the combination of multiple channel-matched-filters (CMFs) and weighted combining of signals from a plurality of receive chains is that, with weights chosen as described herein, SINR (signal to interference plus noise ratio) combining is achieved. One approach to obtaining such advantages is to estimate certain parameters (e.g., channel impulse response, correlation peak timing, noise estimation) from the receive signals for use in the combining, but to be able to do so before such SINR combining is fully operational. This constraint is overcome in implementations of the present invention by use of a parameter estimation scheme that provides reliable estimates at low SINR without using the SINR combining scheme. Once the parameters have been estimated, they can then be used in SINR combining for data detection.

With the present invention, multiple signals can be used for parameter estimation as well as for decoding the data from multiple receive chains.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a simple wireless network that might use the present invention.

FIG. 2 is a block diagram illustrating the coupling between one device and one network connection of the wireless network shown in FIG. 1.

FIG. 3 is a block diagram of a receive section of node hardware as might be used in hardware illustrated in FIG. 2.

FIG. 4 is a block diagram of a channel matched filter block and Barker decoder as might be used in the receive section of FIG. 3.

FIG. 5 is a block diagram of a channel matched filter block and CCK decoder as might be used in the receive section of FIG. 3.

FIG. 6 is a block diagram of the phase-lock loop detail of FIG. 5.

FIG. 7 is a block diagram of an alternate embodiment of the CCK decoder of FIG. 3.

FIG. 8 is a timing diagram of a parameter estimation process.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 1 illustrates a simple wireless network that might use the present invention. As shown there, a wireless network 10 comprises a plurality of nodes 12 wherein each node 12 is capable of communicating with at least one other node 12 of wireless network 10. In specific implementations, wireless network 10 is a local area wireless network, as might be used within a building, campus, vehicle or similar environments. In a specific embodiment, wireless network 10 is designed to be compliant with the IEEE 802.11b standard. However, it should be understood that other standards and nonstandard networks might be substituted therefore. As shown, some of the nodes are coupled to node devices 14, while other nodes are coupled to wired network interfaces 16. For example, node 12(1) is coupled to node device 14(1), while node 12(3) is coupled to a wired network interface 16.

FIG. 1 is intended to be a simplified and generalized diagram of a wireless network. Examples of node devices 14 include laptops, personal digital assistants (PDAs), or any other portable or semi-portable electronic device needing to communicate with other devices, or a stationary electronic device needing to communicate with other devices where a wire connection to a network or the other devices is not available or easily provided. Wired network interfaces 16 coupled their respective nodes to a network. Examples of such networks include the Internet, a local area network (LAN) or a public or private connection to a TCP/IP packet network or other packet networks.

In a typical operation, a plurality of node devices are outfitted with circuitry and/or software that implements a node 12 functionality and one or more network access points are provided in wireless network 10 to provide access between such a node device and the network to which a wired network interface is coupled. In the terminology used here, a node coupled to a node device is referred to as a “station” and a node coupled to a wired network interface is referred to as an “access point”. Just one example of the uses of such a system is to connect computers within a building to a network without requiring network wires to be run to each computer. In that example, the building would be outfitted with stationary access points coupled to the network which are within wireless communication range of wireless network cards in each of the computers coupled to the network.

FIG. 2 shows in more detail the coupling between one device and one network connection. As shown there, device 14 is coupled to a device I/O section of node hardware 20. Node hardware 20 includes a transmitter section and a receiver section, each coupled to the device I/O section. The transmit section transmits a signal through a wireless channel 21 to a receive section of access point hardware 22. That receive section is coupled to a network I/O section, thus providing a data communication path from device 14 to a network 28. A path from network 28 to device 14 is also provided via the network I/O section of access point hardware 22, a transmit section of access point hardware 22, a receive section of node hardware 20 and the device I/O section of node 20. The characteristics of wireless channel 21 depend on many factors, such as the location of node hardware 20 and access point hardware 22 as well as intervening objects, such as walls, buildings and natural obstructions, as well as influences by other devices and transmitters and receivers and signal-reflecting surfaces. Typically node hardware 20 can be integrated in with device 14. For example where device 14 is a laptop computer, node hardware 20 might be an add-on PCMCIA card that is inserted into the laptop's PCMCIA slot. Typically access point hardware 22 is implemented as part of a wired network interface device that is just used to couple a wired network to a wireless network. Notwithstanding the typical implementation, it should be understood that nothing here prevents the diagram of FIG. 2 from being entirely symmetrical, i.e., wherein node hardware 20 and access point hardware 22 are nearly identical instances of hardware devices.

What follows is a detailed description of a receive section. FIG. 3 illustrates components of a receive section 30. Receive section 30 receives one or more signals over the wireless channel via antennas 32, which are initially processed by RF section 34. RF section 34 might, for example, process the signals to form baseband signals to form digital signal streams.

As shown, receive section 30 also includes FIR(s) 35, a packet detector 37, a resampler 36, a channel matched filter (CMF) block 38, a Barker decoder 40, a CCK decoder 42, a descrambler 44, an SFD detector, and a header processing block 46. Although three antennas/channels are shown with ellipses to indicate more channels, it should be understood that the number of channels, N, could be as low as two or more than three. It should be understood that many of these blocks and elements could be implemented as instructions to be executed by a digital signal processor.

The FIR(s) 35 each receive one or more baseband signals from RF section 34. As described herein, receive section includes a plurality of receive sections. In specific implementations, there is a one-to-one correspondence between physical antennas and receive sections, while in other implementations, there is not a one-to-one correspondence. For example, one receive section might receive signals from an antenna structure that is considered to be more than one antenna.

The signals pass from FIR(s) 35 to resampler 36 and packet detector 37. Packet detector 37 processes the input signals to determine the beginning of a packet and may provide a packet detector signal to other elements to indicate whether any further processing is needed at all. Where the receive section is implemented as instructions for a digital signal processor, the packet detector might be code that determines whether or not a packet is detected and then sets a flag that the processor uses to determine whether to execute the code for the other blocks shown.

Assuming the other blocks are to process data, resampler 36 corrects for sample timing differences between the transmitter D/A and receiver A/D. The resampled signals are then provided to CMF block 38. CMF block 38 provides N signals as its output to both Barker decoder 40 and CCK decoder 42.

Barker decoder 40 is a vector decoder in that it operates on more than one input. Barker decoder 40 receives the N signals from CMF block 38 and in turn outputs Barker bits to descrambler 44 and SFD detector 48. Barker decoder 40 passes CMF coefficients and an Initial Frequency Offset Estimate back to CMF block 38 as well as a phase error vector for frequency/phase tracking. Barker decoder 40 passes combining weights and DPSK demodulator phase to CCK decoder 42, for use in cases where a packet is detected, a Barker preamble is found, and the packet is determined to be CCK coded. Barker decoder 40 also passes a sample timing correction to resampler 36. Because the Barker decoder operates on more than channel, estimates and outputs are more reliable than single channel results.

For CCK coded packets, CCK decoder 42 outputs data bits to descrambler 44 and also provides phase/frequency correction signals to CMF block 38. Descrambler 44 in turn descrambles the bits provided to it and generates the data output stream. SFD detector 48 takes input bits prior to and after descrambler 44. SFD detector 48 detects the end of the packet preamble. Header processor 46 takes the output bits from descrambler 44 and process the packet header fields. Header processor 46 can begin its processing immediately after the SFD has been detected.

FIG. 4 illustrates CMF block 38 and Barker decoder 40 in greater detail. As shown there, CMF block 38 comprises N CMF units 50, each of which is coupled to a multiplier 52 to be multiplied by the output of a loop filter and NCO 54. The outputs of each of CMF units 50 suitably multiplied by multiplier 52 are provided to corresponding Barker correlators 60 in Barker decoder 40. The Barker decoders decimate their input sequence to 1 Msps (megasamples/second) by correlating their input sequences with the decoders' Barker sequence (such as the Barker sequence “10110111000” used in the IEEE 802.11 standard) to form the Barker correlator output. The decimation is accomplished by extracting the one sample out of 22 that corresponds to the correlation peak. The multiple decimated Barker correlator outputs are weighted and summed to form a collective decimated Barker correlator output. In particular, the output of each Barker correlator 60 is provided to a peak buffer 62. The length of the peak buffers 62 (in samples) corresponds to one Barker symbol. One sample within each peak buffer 62 will correspond to the correlation peak. These values are extracted from each peak buffer 62, are weighted by amplifiers that form a channel combiner 68, and summed by summer 70.

The output of summer 70 is provided to slicer/DPSK decoder 72. Slicer/DPSK decoder 72 generates the Barker decoded header and data bits. In addition, slicer/DPSK decoder 72 generates a phase error vector that is sent to CMF Phase Detector 54 in CMF block 38. Included in Barker decoder 40 is functionality to estimate the frequency offset between transmitter and receiver, the timing of the correlation peak, the channel impulse response for each receive chain, as well as the noise power on each receive chain. In addition, Barker decoder 40 can compute the sample timing offset from the frequency offset.

FIG. 5 shows CCK decoder 42 in greater detail. Each of the outputs of multipliers 52 of CMF block 38 are provided to amplifiers 78, which weights the signals and provides them to summer 80. The output of summer 80 is provided to a CCK correlator 82, which outputs to a maximum selector 84.

The CCK correlator 82 acts on one CCK symbol at a time. Symbol boundaries are obtained from Barker Decoder 40 symbol timing. The maximum selector generates output bits corresponding to CCK correlator 82 output with maximum absolute in-phase or quadrature component. In addition, maximum selector 84 generates a phase error vector that is passed to CMF phase detector 54 in CMF block 38. The output bits from maximum selector 84 are provided to a differential decode module 86 that differentially decodes the two most significant bits and in turn outputs the CCK bits to descrambler 44.

FIG. 7 illustrates an alternative embodiment of the CCK decoder, wherein the receive signals are correlated individually and the results of the correlation lead to a weighting among the signals, which is used to weight the symbols before they are combined.

Packet Reception

The first step in packet reception is the detection of a packet. This is accomplished in the packet detector 37. Once a packet has been detected (according to processes described herein or other processes), the parameter estimation process begins. The preamble of an 802.11b packet comprises sync bits that do not contain data. This time is used to estimate signal and channel parameters. FIG. 8 displays a timeline of the parameter estimation steps that take place during the packet preamble. The timeline is drawn relative to the preamble for the short 802.11b packet preamble. Parameter estimation does not necessarily begin at the beginning of the packet due to ambiguity in packet detection. This potential delay is depicted in FIG. 8.

The frequency offset estimation and Barker correlation peak timing are estimated jointly as described herein. The sample timing offset is computed from the frequency offset and sent to the resampler 36. The frequency offset is sent to the CMF block 38 to be loaded into the memory element in the pole 96 of the PLL loop filter. The correlation peak timing is used to adjust the timing of the samples into the peak buffer 62 so that the maximal channel energy lies in the center of the peak buffer 62.

The channel estimation procedure begins after the frequency/correlation peak estimation has completed and appropriate parameters have been loaded. Once the channel impulse responses have been estimated, CMF coefficients are computed and sent to the CMF block 38 to be loaded into the CMF elements 50. Once the CMF coefficients have been loaded, one symbol is allowed to propagate from the CMF 38 through the Barker Decoder 40 to allow the system to flush. The location of the Barker correlation peak will have changed. The new location corresponds to the first sample in the peak buffer 62 that is used for the channel estimation.

At this point, the Barker decoder 40 begins computing phase error vectors for the PLL. The PLL is allowed 10 μs to acquire. Once the PLL has acquired, the noise estimation procedure begins. The noise estimation takes 10 μs. After the noise estimation completes the combining weights are computed. These weights are used in channel combiner 68 in Barker decoder 40 and are sent to CCK decoder 42 to be used in channel combiner 78.

SFD detector 48 correlates the receive bits with the two SFDs. Once an SFD is detected, header processing 46 begins. The header processor 46 determines, among other things, what type of modulation is used in the packet body. Once the header is completed, the appropriate decoder is switched on/off and packet reception proceeds.

Peak Estimation

The Barker correlation peak is determined for other parameter estimation steps as well as data detection. One method of determination is to find the sample that provides the maximum magnitude value in peak buffer 62. The location of this sample in peak buffer 62 is an estimate the correlation peak location. The location can be more robustly determined by time-averaging the sum, across receive chains, of the magnitude of peak buffers 62. This is shown by:

$d_{l} = {\sum\limits_{k = 1}^{L}\;{\sum\limits_{i = 1}^{N}\;{{p_{l}^{(i)}(k)}}}}$ where p^((i))(k) refers to the k-th set of 22 samples from the i-th receive chain and p_(l) ^((i))(k) refers to the l-th sample of that set. The location of the maximum value of d_(l) is an estimate of the location of the Barker correlation peak. A reasonable value for L is 10, although other values can be used. Frequency Estimation

Residual frequency offset should be corrected to increase data detection performance. An initial frequency offset is estimated and used to initialize phase-lock loop 54. One approach to estimation is to compute the cross-correlation between the correlation peak of a current symbol and the correlation peak from a previous symbol. That is, assume that l′ indexes the correlation peak from one of the peak estimation steps described above. The cross-correlation for one receive chain is: {tilde over (r)} ^((i)) =p _(l′) ^((i))(k)(p _(l′) ^((i))(k−1))*

The value {tilde over (r)}^((i)) is a vector in the complex plane. Mapping this value to the positive real half-plane can be done as follows:

$r^{(i)} = \left\{ {\begin{matrix} {- {\hat{r}}^{(i)}} & {{{Re}\left\{ {\hat{r}}^{(i)} \right\}} < 0} \\ {\hat{r}}^{(i)} & {otherwise} \end{matrix}.} \right.$

The argument of the resulting vector represents the phase change between two consecutive symbols. For a symbol rate of 1 Msps, the argument of this value corresponds to a frequency offset of:

$f^{(i)} = {{\frac{{\arg r}^{(i)}}{2\pi} \times 10^{6}}\mspace{11mu}{{Hz}.}}$

The values, r^((i)), can be averaged across the receive chains to provide a more robust estimate. That is:

$r = {\sum\limits_{i = 1}^{N}\; r^{(i)}}$

The frequency estimate for a symbol rate of 1 Msps would then be:

$f = {{\frac{\arg r}{2\pi} \times 10^{6}}\mspace{14mu}{Hz}}$

This estimation procedure can be made more robust by time averaging the r values.

$R = {\sum\limits_{k = 1}^{L}\;{r(k)}}$

A reasonable value for L is 10, although other values can be used. The frequency offset estimate for a 1 Msps is:

$f = {{\frac{\arg R}{2\pi} \times 10^{6}}\mspace{14mu}{Hz}}$

The frequency offset for other symbol rates can be computed accordingly.

For IEEE 802.11b compliant devices, it is common to couple the transmitter sampling and frequency clocks. If that is done, an estimate of the sampling offset can be computed from the estimated frequency offset. Assume that the nominal carrier frequency is ƒ_(c). The ratio of the frequency offset to nominal carrier frequency is

$\eta = {\frac{f}{f_{c}}.}$

Since the sampling and frequency clocks are coupled, the sampling offset and nominal sampling rate will have the same ratio. That is, the sampling offset, ψ, is given by ψ=ηψ_(nominal) where ψ_(nominal) is the nominal sampling rate. Channel Estimation The channel estimate is conducted by time-averaging the contents of the peak buffers 62, or a subset thereof. For time averaging, symbol decisions are computed by slicing the inner product of a symbol and accumulator. For example, the estimates can be initialized to: b _(l) ^((i))(0)=p _(l) ^((i))(0)/L Those estimates are then updated, using the following inner product. The following inner product (over all receive chains and all 22 Barker samples of a Barker symbol) allows for the removal of the differential data from the contents of the peak buffer in order to do time-averaging. Although the peak buffer contents are accumulated on a per receive chain basis, the data detection is conducted across receive chains. This use of multiple receive chains for the data detection is more reliable than a single-chain estimate.

$\begin{matrix} {x = {\sum\limits_{i = 1}^{N}\;{\sum\limits_{l = 1}^{22}\;{{p_{l}^{(i)}(k)}{b_{l}^{(i)}\left( {k - 1} \right)}^{*}}}}} \\ {s = \left\{ \begin{matrix} 1 & {x > 0} \\ {- 1} & {x < 0} \end{matrix} \right.} \\ {{b_{l}^{(i)}(k)} = {{b_{l}^{(i)}\left( {k - 1} \right)} + {s \cdot {{p_{l}^{(i)}(k)}/L}}}} \end{matrix}$ In the above equations, p^((i)) (k) refers to the k-th set of 22 samples from the i-th receive chain and p_(l) ^((i)) (k) refers to the l-th sample of that set. An alternative approach would be to perform the data detection on the inputs to the Barker correlator. This might implemented by an inner product similar to the double summation to x shown above, but conducted between the inputs to the Barker correlator and a buffer accumulating inputs to the Barker correlator. The updating step is repeated L times. A suitable value for L is L=10. Longer values might be better if more time for updating were available, but L=10 provides good results and balances the cost of taking more time with the benefits of improving estimation. After accumulating or averaging the impulse responses for L symbols, a subset of the 22 conjugated b_(l) ^((i)) values are used as CMF coefficients, as follows:

l^(′) = arg   max  b_(l)^((i)) c_(l)^((i)) = b_(l)^((i))/b_(l^(′))^((i))|. Note that the division by L in the above equations can be omitted, resulting in an accumulation instead of an averaging, without impacting the channel estimation, because L cancels out. Noise Estimation

The noise estimation is conducted to estimate the SNR from the 11-bit Barker preamble on each receive chain and uses this estimate to generate combining weights for optimal combining. There are several ways to estimate the noise power. Two such procedures use either the quadrature component of the Barker correlation peak, or the output of a Costas phase-error detector. For these procedures, the estimate is initialized to: m ^((i))(0)=0 and the error is computed as: e ^((i)) (k)={σ(x ^((i))(k))−x ^((i)) (k)} for slicer error and e ^((i)) (k)={σ(x ^((i))(k))Imx ^((i))(k)} for Costas error (BPSK), where

${\sigma(x)} = \left\{ \begin{matrix} 1 & {{{Re}\mspace{11mu} x} > 0} \\ {- 1} & {{{Re}\mspace{11mu} x} < 0} \end{matrix} \right.$ and the estimate is updated: m ^((i)) (k)=m ^((i))(k−1)+|e ^((i)) (k)|² This is repeated to accomplish time accumulation over a number of symbols. Another procedure by which the noise power can be estimated is to take the difference between the average power of the Barker correlation peak and cross-correlation between subsequent correlation peaks. That is

$\begin{matrix} {{h(k)} = \left\{ \begin{matrix} {{- {p_{l^{\prime}}^{(i)}(k)}}\left( {p_{l^{\prime}}^{(i)}(k)} \right)^{*}} & {{{Re}\left\{ {{p_{l^{\prime}}^{(i)}(k)}\left( {p_{l^{\prime}}^{(i)}(k)} \right)^{*}} \right\}} < 0} \\ {{p_{l^{\prime}}^{(i)}(k)}\left( {p_{l^{\prime}}^{(i)}(k)} \right)^{*}} & {otherwise} \end{matrix} \right.} \\ {{e^{(i)}(k)} = {{{p_{l^{\prime}}^{(i)}(k)}} - {h(k)}}} \end{matrix}$ The value m^((i)) (k) is accumulated as above. The reciprocals of the resulting values are scaled and used as combining weights, as follows:

$w^{(i)} = \frac{a_{m}^{(i)}}{m^{(i)}}$ where a_(m) ^((i)) is an estimate of the signal power of the i-th receive chain. There are a number of ways to obtain estimates, a_(m) ^((i)), of the signal power. They can be computed directly from the CMF weights:

$a_{m}^{(i)} = {\sum\limits_{l}\;{b_{l}^{(i)}}^{2}}$ They can also be estimated by time-averaging the magnitude-squared output of the Barker correlator:

${a_{m}^{(i)} = {\sum\limits_{n}\;{{p_{l^{\prime}}^{(i)}(n)}}^{2}}},$ in which l′ indexes the Barker correlation peak.

The weights w^((i)) are used for channel combining (via elements 68 in the Barker decoder and elements 78 in the CCK decoder). Since the matched filter essentially weights the input signal by the square root of the signal power, the estimated noise power is equal to the product of noise power and signal power. The weights w^((i)) are equal to the input power with the CMF in its initial state divided by the noise power after channel estimation, which is equivalent to the inverse of the input noise power. Hence, the overall weighting factor for each receive chain is proportional to the square root of the signal power divided the noise power, which is the optimum weighting factor in terms of maximizing output SNR.

Using the channel-matched filters (CMFs) as described herein, the CMFs can maximize the signal-to-noise ratio (SNR) on each individual receive chain. By employing multiple receiver chains and vector decoding with SNR based combination, the effects of spatially dependent multi-path fading can be mitigated.

Phase Lock Loop

Each decoder 40 and 42 generates a phase-error vector during data detection. This phase-error vector is passed to the phase-detector in the CMF Block 38. The phase-error vector is generated by taking the (combined) output of the correlator(s) in the CCK decoder 42 (Barker decoder 40) and mapping it the complex right half-plane according to the following rule. phase error vector=y*σ(y)* in which σ(y) is the sliced value of the correlator output y.

FIG. 6 is a detailed diagram of the PLL functions in the CMF block 38. In the CMF block 38, the angle of the phase error vector is computed 94 and passed to the loop filter 90. The output of the loop filter is sent to an “NCO” 92, which overflows at a rate corresponding to the estimated frequency offset. The output of the “NCO” 92 is used to rotate the outputs of the CMFs 50 at the multipliers 52.

The memory element 96 in the pole of the loop filter is initialized with the frequency offset estimation from the Barker decoder 40.

The phase-lock loop is operational only after the CMF weights have been applied. The CMF coefficients will rotate the signals from the multiple receive chains to have common phase. This allows the use of one phase detector, one loop filter, one oscillator to track frequency/phase changes across multiple receive chains. Other implementations could use multiple phase detectors, loop filters, oscillators or combinations of various numbers of such circuitry. Using multiple phase detectors provides an alternative approach to estimate the per receive chain noise.

Slicer/DPSK Demodulation

This operation is performed in Slicer/Differential Decode 72 in Barker decoder 40 and is split between the max select 84 and differential decode 86 in CCK decoder 42. For BPSK, the process is as follows. First, the symbol is sliced:

$\begin{matrix} {{\sigma_{BPSK}(x)} = \left\{ \begin{matrix} 1 & {{{Re}\mspace{11mu} x} > 0} \\ {- 1} & {{{Re}\mspace{11mu} x} < 0} \end{matrix} \right.} \\ {{\hat{x}(k)} = {\sigma\left( {x(k)} \right)}} \end{matrix}$ then hard decisions are differentially decoded: Δ(k)={circumflex over (x)}(k){circumflex over (x)}(k−1)* and Δ is used to address a data look up table (LUT):

Phase Change Output Bits 0 0 π 1 to determine which bit to output. For QPSK, the process is similar. First, the symbol is sliced:

${\sigma_{QPSK}(x)} = \left\{ {{\begin{matrix} 1 & {{{{Re}\mspace{11mu} x}} > {{{Im}\mspace{11mu} x}}} & {{{Re}\mspace{11mu} x} > 0} \\ {- 1} & {{{{Re}\mspace{11mu} x}} > {{{Im}\mspace{11mu} x}}} & {{{Re}\mspace{11mu} x} < 0} \\ j & {{{{Re}\mspace{11mu} x}} < {{{Im}\mspace{11mu} x}}} & {{{Im}\mspace{11mu} x} > 0} \\ {- j} & {{{{Re}\mspace{11mu} x}} < {{{Im}\mspace{11mu} x}}} & {{{Im}\mspace{11mu} x} < 0} \end{matrix}{\hat{x}(k)}} = {\sigma\left( {x(k)} \right)}} \right.$ then hard decisions are differentially decoded: Δ(k)={circumflex over (x)}(k){circumflex over (x)}(k−1)* and Δ is used to address a data look up table (LUT):

Phase Change Output Bits 0 00 π/2 01 π 11 3π/2 10

While the above two codings might be all that is needed to implement a receiver, such as in an 802.11 compliant or 802.11 variant receiver, other codings might be used and similar SFD detection might be performed in such cases.

SFD Detection

The Start Field Delimiter (SFD) is detected to determine the beginning of the Packet Header. There are two distinct 16-bit SFD patterns, one for the long header and one for the short header. There are several approaches to SFD detection. One approach is to compare the output of descrambler 44 versus the two SFD patterns. Another approach is to compare the output of descrambler 44 versus the SFD pattern for the long header and the input to descrambler 44 versus the scrambled SFD pattern for the short header. The scrambled SFD pattern for the short header is predictable since the packet preamble and scrambler initialization state are specified in the 802.11b standard. This approach may be beneficial, since it removes scrambler initialization latency from the time required to detect the SFD pattern for the short header. Previous approaches compared Barker decoder output bits versus the SFD bit patterns. For the SFD associated with the short header, SFD detection can be done on the output of the Barker Correlator. Essentially, the scrambled bit pattern for the SFD is modulated using DBPSK to act as a soft decision correlator. One such correlator can be used for the output of the channel combiner. Alternatively, one SFD correlator could be used for each receive chain. The outputs of the correlators are combined using the weights for channel combiner 68. This value is compared to a threshold to determine whether the SFD is present. 

1. A receiver chain usable for wireless data communication, comprising: a plurality of receive antennas, wherein each receive antenna can receive a received signal; a plurality of channel matched filters, with at least one channel matched filter for each receive antenna; and a vector Barker decoder coupled to the plurality of channel matched filters, wherein the vector Barker decoder operates on a plurality of signals received from the plurality of channel matched filters, wherein each channel matched filter operates with a channel model determined for the plurality of receive antennas with data detection used for coherent time averaging.
 2. A receiver chain usable for wireless data communication, comprising: a plurality of receive antennas, wherein each receive antenna can receive a received signal; a plurality of channel matched filters, with at least one channel matched filter for each receive antenna; a vector Barker decoder coupled to the plurality of channel matched filters. wherein the vector Barker decoder operates on a plurality of signals received from the plurality of channel matched filters; a plurality of Barker correlators, wherein each Barker correlator is associated with one of the plurality of received signals and outputs a correlator signal; and means for combining correlator signals output by the plurality of Barker correlators to form a combined correlator output signal.
 3. The receiver chain of claim 2, further comprising a noise estimator coupled to receive the plurality of correlator signals, wherein the noise estimation is performed using at least one of a slicer variance, quadrature component variance, or a PLL detector variance and provided as input to the means for combining correlator signals, wherein the means for combining correlator signals weights the correlator signals according to a noise estimate prior to summing.
 4. The receiver chain of claim 2, further comprising: means for determining channel matched filter coefficients for each of a plurality of channel matched filters, wherein at least one channel matched filter filters a signal for each receive antenna and wherein the Barker correlator for that receive antenna receives its corresponding received signal filtered by the at least channel matched filter; means for determining correlator signal weights for the plurality of received signals; and means for weighting the plurality of correlator signals according to the determined weights prior to the combination by the means for combining.
 5. The receiver chain of claim 2, further comprising: a plurality of peak buffers that time average Barker correlation outputs to form channel estimates.
 6. The receiver chain of claim 2, further comprising logic to determine a multi antenna estimate of frequency offset using the plurality of correlator signals.
 7. The receiver chain of claim 2, further comprising a circuit for estimating a multi-antenna correlation peak across receive antennas.
 8. A receiver chain usable for wireless data communication, comprising: a plurality of receive antennas, wherein each receive antenna can receive a received signal; a plurality of channel matched filters, with at least one channel matched filter for each receive antenna; and a vector Barker decoder coupled to the plurality of channel matched filters, wherein the vector Barker decoder operates on a plurality of signals received from the plurality of channel matched filters, a phase locked loop phase detector that detects phase from the plurality of received signals.
 9. The receiver chain of claim 8, further comprising a phase locked loop detector, wherein the phase locked loop detector detects phase from a combination of less than all of the plurality of received signals.
 10. A receiver chain usable for wireless data communication, comprising: a plurality of receive antennas, wherein each receive antenna can receive a received signal; a plurality of channel matched filters, with at least one channel matched filter for each receive antenna; a vector Barker decoder coupled to the plurality of channel matched filters, wherein the vector Barker decoder operates on a plurality of signals received from the plurality of channel matched filters; and a Phased Lock Loop circuit.
 11. A receiver chain usable for wireless data communication, comprising: a plurality of receive antennas, wherein each receive antenna can receive a received signal; a plurality of channel matched filters, with at least one channel matched filter for each receive antenna; a vector Barker decoder coupled to the plurality of channel matched filters, wherein the vector Barker decoder operates on a plurality of signals received from the plurality of channel matched filters; and a multi antenna start field delimiter (“SFD”) detector.
 12. A receiver chain usable for wireless data communication comprising: a plurality of receive antennas, wherein each receive antenna can receive a received signal; a plurality of channel matched filters, with at least one channel matched filter for each receive antenna; a vector Barker decoder coupled to the plurality of channel matched filters, wherein the vector Barker decoder operates on a plurality of signals received from the plurality of channel matched filters; and a combination start field delimiter (“SFD”) detector that is capable of detecting SFD for at least one of a short preamble prior to descrambling and a long preamble after descrambling.
 13. A method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters, wherein each channel matched filter operates with a channel model determined for the plurality of receive antennas with data detection used for coherent time averaging.
 14. A method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; correlating each of the plurality of received signals using a corresponding one of a plurality of Barker correlators to produce a corresponding one of a plurality of correlated signals; and combining the correlated signals output by the plurality of Barker correlators to form a combined correlator output signal.
 15. The method of claim 14, further comprising the steps of: estimating a noise component of the plurality of correlator signals, wherein the noise estimation is performed using at least one of a slicer variance, quadrature component variance, or a PLL detector variance; and weighting the correlator signals according to a noise estimate prior to the combining step.
 16. The method of claim 14, further comprising the steps of: determining channel matched filter coefficients for each of a plurality of channel matched filters, wherein at least one channel matched filter filters a signal for each of the plurality of antennas and wherein the Barker correlator for each of the plurality of antennas receives its corresponding received signal filtered by the at least channel matched filter; determining correlator signal weights for the plurality of received signals; and weighting the plurality of correlator signals according to the determined weights prior to the step of combining.
 17. The method of claim 14, further comprising the step of: time averaging Barker correlation outputs using a plurality of peak buffers to form channel estimates.
 18. The method of claim 14, further comprising the step of: determining a multi antenna estimate of frequency offset using the plurality of correlator signals.
 19. The method of claim 14, further comprising the step of: estimating a multi-antenna correlation peak across receive antennas.
 20. A method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; detecting phase information from the plurality of received signals using at least one phase locked loop.
 21. A method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; detecting phase information from a combination of less than all of the plurality of received signals.
 22. A method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; detecting a Start Field Deliminator for at least one of a short preamble prior to descrambling and a long preamble after descrambling.
 23. An apparatus usable for wireless data communication, comprising: means for receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; means for filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and means for decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters, wherein each channel matched filter operates with a channel model determined for the plurality of receive antennas with data detection used for coherent time averaging.
 24. An apparatus usable for wireless data communication, comprising: means for receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; means for filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and means for decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; means for correlating each of the plurality of received signals using a corresponding one of a plurality of Barker correlators to produce a corresponding one of a plurality of correlated signals; and means for combining the correlated signals output by the plurality of Barker correlators to form a combined correlator output signal.
 25. The apparatus chain of claim 24, further comprising: means for estimating a noise component of the plurality of correlator signals, wherein the noise estimation is performed using at least one of a slicer variance, quadrature component variance, or a PLL detector variance; and means for weighting the correlator signals according to a noise estimate prior to combining the correlated signals output by the plurality of Barker correlators.
 26. The apparatus of claim 24, further comprising: means for determining channel matched filter coefficients for each of a plurality of channel matched filters, wherein at least one means for determining channel matched filter coefficients filters a signal for each of the plurality of antennas and wherein the Barker correlator for each of the plurality of antennas receives its corresponding received signal filtered by the at least one channel matched filter; means for determining correlator signal weights for the plurality of received signals; and means for weighting the plurality of correlator signals according to the determined weights prior to combining the correlated signals output by the plurality of Barker correlators.
 27. The apparatus of claim 24, further comprising: means for time averaging Barker correlation outputs using a plurality of peak buffers to form channel estimates.
 28. The apparatus of claim 24, further comprising: means for determining a multi antenna estimate of frequency offset using the plurality of correlator signals.
 29. The apparatus of claim 24, further comprising: means for estimating a multi-antenna correlation peak across receive antennas.
 30. An apparatus usable for wireless data communication, comprising: means for receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; means for filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and means for decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; means for detecting phase information from the plurality of received signals.
 31. An apparatus usable for wireless data communication, comprising: means for receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; means for filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and means for decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; means for detecting phase information from a combination of less than all of the plurality of received signals.
 32. An apparatus usable for wireless data communication, comprising: means for receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; means for filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and means for decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; means for detecting a Start Field Deliminator for at least one of a short preamble prior to descrambling and a long preamble after descrambling.
 33. A computer-readable medium having computer usable instructions stored thereon for execution by a processor to perform a method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters, wherein each channel matched filter operates with a channel model determined for the plurality of receive antennas with data detection used for coherent time averaging.
 34. A computer-readable medium having computer usable instructions stored thereon for execution by a processor to perform a method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; correlating each of the plurality of received signals using a corresponding one of a plurality of Barker correlators to produce a corresponding one of a plurality of correlated signals; and combining the correlated signals output by the plurality of Barker correlators to form a combined correlator output signal.
 35. The computer-readable medium of claim 34, further comprising the steps of: estimating a noise component of the plurality of correlator signals, wherein the noise estimation is performed using at least one of a slicer variance, quadrature component variance, or a PLL detector variance; and weighting the correlator signals according to a noise estimate prior to the combining step.
 36. The computer-readable medium of claim 34, further comprising the steps of: determining channel matched filter coefficients for each of a plurality of channel matched filters, wherein at least one channel matched filter filters a signal for each of the plurality of antennas and wherein the Barker correlator for each of the plurality of antennas receives its corresponding received signal filtered by the at least channel matched filter; determining correlator signal weights for the plurality of received signals; and weighting the plurality of correlator signals according to the determined weights prior to the step of combining.
 37. The computer-readable medium of claim 34, further comprising the step of: time averaging Barker correlation outputs using a plurality of peak buffers to form channel estimates.
 38. The computer-readable medium of claim 34, further comprising the step of: determining a multi antenna estimate of frequency offset using the plurality of correlator signals.
 39. The computer-readable medium of claim 34, further comprising the step of: estimating a multi-antenna correlation peak across receive antennas.
 40. A computer-readable medium having computer usable instructions stored thereon for execution by a processor to perform a method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; detecting phase information from the plurality of received signals using at least one phase locked loop.
 41. A computer-readable medium having computer usable instructions stored thereon for execution by a processor to perform a method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; detecting phase information from a combination of less than all of the plurality of received signals.
 42. A computer-readable medium having computer usable instructions stored thereon for execution by a processor to perform a method for determining channel and noise estimation, comprising the steps of: receiving a plurality of wireless signals, each one of the plurality of wireless signals received over a corresponding one of a plurality of antennas; filtering each of the plurality of wireless signals using a corresponding one of a plurality of channel matched filters; and decoding each of the plurality of signals using a vector Barker decoder, wherein the vector Barker decoder operates on the plurality of filtered signals from the plurality of channel matched filters; detecting a Start Field Deliminator for at least one of a short preamble prior to descrambling and a long preamble after descrambling. 